ConvertFp32ToFp16TestImpl.hpp File Reference

#include <armnnTestUtils/LayerTestResult.hpp>
#include <Half.hpp>
#include <armnn/backends/IBackendInternal.hpp>
#include <armnn/backends/WorkloadFactory.hpp>

Go to the source code of this file.

Functions
LayerTestResult< armnn::Half, 4 >	SimpleConvertFp32ToFp16Test (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)

Function Documentation

SimpleConvertFp32ToFp16Test()

LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test	(	armnn::IWorkloadFactory &	workloadFactory,
		const armnn::IBackendInternal::IMemoryManagerSharedPtr &	memoryManager,
		const armnn::ITensorHandleFactory &	tensorHandleFactory
	)

Definition at line 14 of file ConvertFp32ToFp16TestImpl.cpp.

References armnn::ConvertFp32ToFp16, CopyDataFromITensorHandle(), CopyDataToITensorHandle(), ITensorHandleFactory::CreateTensorHandle(), IWorkloadFactory::CreateWorkload(), armnn::Float16, armnn::Float32, and armnn::IgnoreUnused().

Referenced by TEST_SUITE().

{
    IgnoreUnused(memoryManager);
    using namespace half_float::literal;

    const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
    const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16);

    std::vector<float> input =
        {
            -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
            1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f
        };

    std::vector<armnn::Half> expectedOutput =
        {
            -37.5_h, -15.2_h, -8.76_h, -2.0_h, -1.5_h, -1.3_h, -0.5_h, -0.4_h, 0.0_h,
            1.0_h, 0.4_h, 0.5_h, 1.3_h, 1.5_h, 2.0_h, 8.76_h, 15.2_h, 37.5_h
        };

    std::vector<armnn::Half> actualOutput(outputTensorInfo.GetNumElements());

    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);

    armnn::ConvertFp32ToFp16QueueDescriptor data;
    armnn::WorkloadInfo info;
    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());

    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::ConvertFp32ToFp16,
                                                                                data,
                                                                                info);

    inputHandle->Allocate();
    outputHandle->Allocate();

    CopyDataToITensorHandle(inputHandle.get(), input.data());

    workload->Execute();

    CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());

    return LayerTestResult<armnn::Half, 4>(actualOutput,
                                           expectedOutput,
                                           outputHandle->GetShape(),
                                           outputTensorInfo.GetShape());
}